172 related articles for article (PubMed ID: 32294859)
1. [Application of apparent diffusion coefficient combined with serum tumor markers detection in evaluating neoadjuvant chemotherapy for osteosarcoma].
Wang Z; Liu L; Song YX; Zhang H; She W; Qian YW
Zhonghua Yi Xue Za Zhi; 2020 Apr; 100(13):1012-1016. PubMed ID: 32294859
[No Abstract] [Full Text] [Related]
2. Correlation between apparent diffusion coefficient and histopathology subtypes of osteosarcoma after neoadjuvant chemotherapy.
Wang J; Sun M; Liu D; Hu X; Pui MH; Meng Q; Gao Z
Acta Radiol; 2017 Aug; 58(8):971-976. PubMed ID: 27852643
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of the efficacy of neoadjuvant chemotherapy for breast cancer using diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging.
Xu HD; Zhang YQ
Neoplasma; 2017; 64(3):430-436. PubMed ID: 28253722
[TBL] [Abstract][Full Text] [Related]
4. Noninvasive assessment of response to neoadjuvant chemotherapy in osteosarcoma of long bones with diffusion-weighted imaging: an initial in vivo study.
Wang CS; Du LJ; Si MJ; Yin QH; Chen L; Shu M; Yuan F; Fei XC; Ding XY
PLoS One; 2013; 8(8):e72679. PubMed ID: 23991141
[TBL] [Abstract][Full Text] [Related]
5. Monitoring Response to Neoadjuvant Chemotherapy of Primary Osteosarcoma Using Diffusion Kurtosis Magnetic Resonance Imaging: Initial Findings.
Liu C; Xi Y; Li M; Jiao Q; Zhang H; Yang Q; Yao W
Korean J Radiol; 2019 May; 20(5):801-811. PubMed ID: 30993931
[TBL] [Abstract][Full Text] [Related]
6. Combination of 18F-FDG PET/CT and diffusion-weighted MR imaging as a predictor of histologic response to neoadjuvant chemotherapy: preliminary results in osteosarcoma.
Byun BH; Kong CB; Lim I; Choi CW; Song WS; Cho WH; Jeon DG; Koh JS; Lee SY; Lim SM
J Nucl Med; 2013 Jul; 54(7):1053-9. PubMed ID: 23670899
[TBL] [Abstract][Full Text] [Related]
7. Correlation between the changes of serum COX 2, APE1, VEGF, TGF-β and TSGF levels and prognosis in patients with osteosarcoma before and after treatment.
Zhang Q; Dong G; Wang F; Ding W
J Cancer Res Ther; 2020; 16(2):335-342. PubMed ID: 32474521
[TBL] [Abstract][Full Text] [Related]
8. Texture analysis for chemotherapy response evaluation in osteosarcoma using MR imaging.
Baidya Kayal E; Kandasamy D; Khare K; Bakhshi S; Sharma R; Mehndiratta A
NMR Biomed; 2021 Feb; 34(2):e4426. PubMed ID: 33078438
[TBL] [Abstract][Full Text] [Related]
9. Prediction of Poor Responders to Neoadjuvant Chemotherapy in Patients with Osteosarcoma: Additive Value of Diffusion-Weighted MRI including Volumetric Analysis to Standard MRI at 3T.
Lee SK; Jee WH; Jung CK; Im SA; Chung NG; Chung YG
PLoS One; 2020; 15(3):e0229983. PubMed ID: 32155203
[TBL] [Abstract][Full Text] [Related]
10. Predicting liver metastasis of gastrointestinal tract cancer by diffusion-weighted imaging of apparent diffusion coefficient values.
Zheng DX; Meng SC; Liu QJ; Li CT; Shang XD; Zhu YS; Bai TJ; Xu SM
World J Gastroenterol; 2016 Mar; 22(10):3031-7. PubMed ID: 26973399
[TBL] [Abstract][Full Text] [Related]
11. Efficacy of Diffusion-Weighted Imaging in Neoadjuvant Chemotherapy for Osteosarcoma: A Systematic Review and Meta-Analysis.
Yuan W; Yu Q; Wang Z; Huang J; Wang J; Long L
Acad Radiol; 2022 Feb; 29(2):326-334. PubMed ID: 33386220
[TBL] [Abstract][Full Text] [Related]
12. Intravoxel incoherent motion (IVIM) for response assessment in patients with osteosarcoma undergoing neoadjuvant chemotherapy.
Baidya Kayal E; Kandasamy D; Khare K; Bakhshi S; Sharma R; Mehndiratta A
Eur J Radiol; 2019 Oct; 119():108635. PubMed ID: 31445487
[TBL] [Abstract][Full Text] [Related]
13. Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cancer.
Liang CY; Chen MD; Zhao XX; Yan CG; Mei YJ; Xu YK
Eur J Radiol; 2019 Jan; 110():249-255. PubMed ID: 30599868
[TBL] [Abstract][Full Text] [Related]
14. Multiparametric MRI with diffusion-weighted imaging in predicting response to chemotherapy in cases of osteosarcoma and Ewing's sarcoma.
Saleh MM; Abdelrahman TM; Madney Y; Mohamed G; Shokry AM; Moustafa AF
Br J Radiol; 2020 Nov; 93(1115):20200257. PubMed ID: 32706980
[TBL] [Abstract][Full Text] [Related]
15. Value of diffusion-weighted imaging for evaluating chemotherapy response in osteosarcoma: A meta-analysis.
Kubo T; Furuta T; Johan MP; Ochi M; Adachi N
Mol Clin Oncol; 2017 Jul; 7(1):88-92. PubMed ID: 28685082
[TBL] [Abstract][Full Text] [Related]
16. Monitoring early responses to neoadjuvant chemotherapy and the factors affecting neoadjuvant chemotherapy responses in primary osteosarcoma.
Yu H; Gao L; Shi R; Kong M; Duan L; Cui J
Quant Imaging Med Surg; 2023 Jun; 13(6):3716-3725. PubMed ID: 37284107
[TBL] [Abstract][Full Text] [Related]
17. Predictive value of DCE-MRI and IVIM-DWI in osteosarcoma patients with neoadjuvant chemotherapy.
Xia X; Wen L; Zhou F; Li J; Lu Q; Liu J; Yu X
Front Oncol; 2022; 12():967450. PubMed ID: 36313686
[TBL] [Abstract][Full Text] [Related]
18. The value of diffusion-weighted imaging for monitoring the chemotherapeutic response of osteosarcoma: a comparison between average apparent diffusion coefficient and minimum apparent diffusion coefficient.
Oka K; Yakushiji T; Sato H; Hirai T; Yamashita Y; Mizuta H
Skeletal Radiol; 2010 Feb; 39(2):141-6. PubMed ID: 19924412
[TBL] [Abstract][Full Text] [Related]
19. Role of the Apparent Diffusion Coefficient in the Prediction of Response to Neoadjuvant Chemotherapy in Patients With Locally Advanced Breast Cancer.
Bufi E; Belli P; Costantini M; Cipriani A; Di Matteo M; Bonatesta A; Franceschini G; Terribile D; Mulé A; Nardone L; Bonomo L
Clin Breast Cancer; 2015 Oct; 15(5):370-80. PubMed ID: 25891905
[TBL] [Abstract][Full Text] [Related]
20. Feasibility of multi-parametric magnetic resonance imaging combined with machine learning in the assessment of necrosis of osteosarcoma after neoadjuvant chemotherapy: a preliminary study.
Huang B; Wang J; Sun M; Chen X; Xu D; Li ZP; Ma J; Feng ST; Gao Z
BMC Cancer; 2020 Apr; 20(1):322. PubMed ID: 32293344
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
